ops-hygiene
Standard operating procedures for agent maintenance, security hygiene, and system health. Use when performing periodic checks, security audits, memory maintenance, secret rotation, dependency updates, or any recurring "housekeeping" tasks. Also use when setting up automated maintenance schedules or when asked about agent security posture.
Why use this skill?
Master OpenClaw agent maintenance with ops-hygiene. Automate secret scanning, security audits, dependency management, and system health checks for a secure agent.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/staybased/ops-hygieneWhat This Skill Does
The ops-hygiene skill serves as the foundational maintenance framework for OpenClaw agents. It operationalizes a rigorous set of Standard Operating Procedures (SOPs) designed to preserve system integrity, security, and long-term memory coherence. Much like personal hygiene for a human, these routines ensure that technical debt, security vulnerabilities, and data clutter do not accumulate within the agent’s workspace. The skill provides automated scripts and structured checklists for routine tasks ranging from input sanitization and secret scanning to dependency management and memory compaction.
Installation
To integrate this skill into your environment, use the OpenClaw command-line interface:
clawhub install openclaw/skills/skills/staybased/ops-hygiene
Use Cases
- Automated Security Auditing: Run scheduled secret scans to ensure no credentials are hardcoded or accidentally committed to version control.
- System Health Monitoring: Manage resource utilization by identifying zombie processes, disk bottlenecks, and memory availability.
- Input Sanitization: Deploy the
prompt-guardlogic to sanitize incoming data from APIs, email, or external web inputs before LLM ingestion. - Memory Lifecycle Management: Maintain a clean knowledge base by distilling daily logs into long-term
MEMORY.mdfiles, ensuring the agent remains focused and relevant. - Dependency Maintenance: Perform recurring checks for outdated libraries and security patches using standard CLI tools.
Example Prompts
- "Run the ops-hygiene daily checklist and let me know if you find any potential security leaks or stale processes."
- "I'm setting up a new environment; can you initiate the boot sequence and run the initial secret scan?"
- "It's the end of the week, please perform the weekly memory compaction and update our MEMORY.md file with the key lessons from the last seven days."
Tips & Limitations
- Consistency is Key: The effectiveness of this skill relies on the agent adhering to the heartbeat cycles. If the agent remains inactive for long periods, perform a manual boot audit upon reactivation.
- Customization: While the provided
filter.pyhandles standard threat vectors, you should extend thereferences/attack-patterns.mdfile regularly to defend against new or domain-specific threats. - Resource Management: The secret scanner operates on the local filesystem; ensure the agent has read access to all relevant project directories. Do not rely solely on automated scans—periodic manual review is highly recommended for sensitive production environments.
Metadata
Not sure this is the right skill?
Describe what you want to build — we'll match you to the best skill from 16,000+ options.
Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-staybased-ops-hygiene": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: file-read, file-write, code-execution
Related Skills
Proposal Writing
Skill by staybased
Lead Magnets
Skill by staybased
Pricing Psychology
Skill by staybased
Reef Negotiation
Skill by staybased
trade-validation
10-dimension weighted scoring framework for prediction market trade evaluation. Enforces disciplined position sizing, circuit breakers, and mandatory counter-arguments. Use when: evaluating prediction market trades, scoring opportunities, deciding position sizes, comparing Polymarket/Kalshi opportunities, running pre-trade checklists. Don't use when: general crypto analysis, DeFi yield farming, non-prediction-market investments, stock/equity analysis, sports betting (different framework needed). Negative examples: - "Should I buy ETH?" → No. This is for prediction markets with binary/discrete outcomes. - "What's the best DeFi yield?" → No. Wrong domain entirely. - "Score this sports bet" → No. Sports betting has different dimensions (injuries, matchups). Edge cases: - Crypto prediction markets (e.g., "Will BTC hit $X?") → YES, use this if on Polymarket/Kalshi. - Multi-outcome markets → Score each outcome separately. - Markets with <$25 liquidity → Auto-fail on Liquidity dimension.